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Optimal Exact Least Squares Rank Minimization
In multivariate analysis, rank minimization emerges when a low-rank structure of matrices is desired as well as a small estimation error. Rank minimization is nonconvex and generally NP-hard, imposing one major challenge. In this paper, we consider a nonconvex least squares formulation, which seeks...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4191838/ https://ncbi.nlm.nih.gov/pubmed/25309806 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2339530.2339609 |
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